Latest AI and machine learning research in strokes for healthcare professionals.
RATIONALE: Pulmonary hypertension (PH) poses a significant health threat. Current biomarkers for PH ...
This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital m...
The comorbidities of hypertension impose a heavy burden on patients and society. Early identificat...
BACKGROUND: COVID-19 is a disease that affects people globally. Beyond affecting the respiratory sys...
An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation,...
Evaluating the regeneration process of damaged muscle tissue is a fundamental analysis in muscle r...
Stroke is a major public health problem, affecting millions worldwide. Deep learning has recently ...
Vision-language pretraining on large datasets of images-text pairs is one of the main building blo...
INTRODUCTION: Post-stroke depression is one of the important complications of stroke and affects pat...
Purpose To develop and evaluate a multilabel deep learning network to identify and quantify acute an...
BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...
Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...
BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...
It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...
The rapid advancement of multimodal large language models (MLLMs) has profoundly impacted the docu...
While static analysis is useful in detecting early-stage hardware security bugs, its efficacy is l...
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with severe complications such...
Large Language Models (LLMs) have demonstrated significant capabilities in understanding and analy...
Lifelong Person Re-identification (LReID) suffers from a key challenge in preserving old knowledge...
This study addresses the challenge of predicting post-stroke rigidity by emphasizing feature inter...